Loading…
Evidence that coronavirus superspreading is fat-tailed
Superspreaders, infected individuals who result in an outsized number of secondary cases, are believed to underlie a significant fraction of total SARS-CoV-2 transmission. Here, we combine empirical observations of SARS-CoV and SARS-CoV-2 transmission and extreme value statistics to show that the di...
Saved in:
Published in: | Proceedings of the National Academy of Sciences - PNAS 2020-11, Vol.117 (47), p.29416-29418 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c443t-beabbaf7a9ed09429c6ac039e0105a4d939c192df2fb3b8b282b53bd2a04ea483 |
---|---|
cites | cdi_FETCH-LOGICAL-c443t-beabbaf7a9ed09429c6ac039e0105a4d939c192df2fb3b8b282b53bd2a04ea483 |
container_end_page | 29418 |
container_issue | 47 |
container_start_page | 29416 |
container_title | Proceedings of the National Academy of Sciences - PNAS |
container_volume | 117 |
creator | Wong, Felix Collins, James J. |
description | Superspreaders, infected individuals who result in an outsized number of secondary cases, are believed to underlie a significant fraction of total SARS-CoV-2 transmission. Here, we combine empirical observations of SARS-CoV and SARS-CoV-2 transmission and extreme value statistics to show that the distribution of secondary cases is consistent with being fat-tailed, implying that large superspreading events are extremal, yet probable, occurrences. We integrate these results with interaction-based network models of disease transmission and show that superspreading, when it is fat-tailed, leads to pronounced transmission by increasing dispersion. Our findings indicate that large superspreading events should be the targets of interventions that minimize tail exposure. |
doi_str_mv | 10.1073/pnas.2018490117 |
format | article |
fullrecord | <record><control><sourceid>jstor_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7703634</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>26970788</jstor_id><sourcerecordid>26970788</sourcerecordid><originalsourceid>FETCH-LOGICAL-c443t-beabbaf7a9ed09429c6ac039e0105a4d939c192df2fb3b8b282b53bd2a04ea483</originalsourceid><addsrcrecordid>eNpdkc1LHEEQxZsQiRvN2VNkwEsuo9Uf0x-XgIhJBMGLnpvqnh7tZXZ67J5ZyH_vyJo1yako3q8e9XiEnFA4p6D4xThgOWdAtTBAqfpAVhQMreWyfiQrAKZqLZg4JJ9LWQOAaTR8IoecU24aSVdEXm9jGwYfqukJp8qnnAbcxjyXqsxjyGXMAds4PFaxVB1O9YSxD-0xOeiwL-HL2zwiDz-u769-1bd3P2-uLm9rLwSfahfQOewUmtCCEcx4iR64CUChQdEabjw1rO1Y57jTjmnmGu5ahiACCs2PyPed7zi7TWh9GKaMvR1z3GD-bRNG-68yxCf7mLZWKeCSi8Xg25tBTs9zKJPdxOJD3-MQ0lwsE43iIDTIBT37D12nOQ9LvIWSQkuuFV-oix3lcyolh27_DAX72ol97cS-d7JcnP6dYc__KWEBvu6AdZlS3utMGgVKa_4C_t6SjQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2464863873</pqid></control><display><type>article</type><title>Evidence that coronavirus superspreading is fat-tailed</title><source>PubMed Central (Open access)</source><source>JSTOR Archival Journals and Primary Sources Collection</source><creator>Wong, Felix ; Collins, James J.</creator><creatorcontrib>Wong, Felix ; Collins, James J.</creatorcontrib><description>Superspreaders, infected individuals who result in an outsized number of secondary cases, are believed to underlie a significant fraction of total SARS-CoV-2 transmission. Here, we combine empirical observations of SARS-CoV and SARS-CoV-2 transmission and extreme value statistics to show that the distribution of secondary cases is consistent with being fat-tailed, implying that large superspreading events are extremal, yet probable, occurrences. We integrate these results with interaction-based network models of disease transmission and show that superspreading, when it is fat-tailed, leads to pronounced transmission by increasing dispersion. Our findings indicate that large superspreading events should be the targets of interventions that minimize tail exposure.</description><identifier>ISSN: 0027-8424</identifier><identifier>EISSN: 1091-6490</identifier><identifier>DOI: 10.1073/pnas.2018490117</identifier><identifier>PMID: 33139561</identifier><language>eng</language><publisher>United States: National Academy of Sciences</publisher><subject>Basic Reproduction Number - statistics & numerical data ; Biological Sciences ; BRIEF REPORTS ; Coronaviruses ; COVID-19 - epidemiology ; COVID-19 - transmission ; Disease control ; Disease transmission ; Extreme values ; Humans ; Models, Statistical ; Pandemics - statistics & numerical data ; Physical Sciences ; Severe acute respiratory syndrome ; Severe acute respiratory syndrome coronavirus 2 ; Viral diseases</subject><ispartof>Proceedings of the National Academy of Sciences - PNAS, 2020-11, Vol.117 (47), p.29416-29418</ispartof><rights>Copyright © 2020 the Author(s). Published by PNAS.</rights><rights>Copyright National Academy of Sciences Nov 24, 2020</rights><rights>Copyright © 2020 the Author(s). Published by PNAS. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c443t-beabbaf7a9ed09429c6ac039e0105a4d939c192df2fb3b8b282b53bd2a04ea483</citedby><cites>FETCH-LOGICAL-c443t-beabbaf7a9ed09429c6ac039e0105a4d939c192df2fb3b8b282b53bd2a04ea483</cites><orcidid>0000-0002-5560-8246 ; 0000-0002-2309-8835</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26970788$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26970788$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793,58238,58471</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33139561$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wong, Felix</creatorcontrib><creatorcontrib>Collins, James J.</creatorcontrib><title>Evidence that coronavirus superspreading is fat-tailed</title><title>Proceedings of the National Academy of Sciences - PNAS</title><addtitle>Proc Natl Acad Sci U S A</addtitle><description>Superspreaders, infected individuals who result in an outsized number of secondary cases, are believed to underlie a significant fraction of total SARS-CoV-2 transmission. Here, we combine empirical observations of SARS-CoV and SARS-CoV-2 transmission and extreme value statistics to show that the distribution of secondary cases is consistent with being fat-tailed, implying that large superspreading events are extremal, yet probable, occurrences. We integrate these results with interaction-based network models of disease transmission and show that superspreading, when it is fat-tailed, leads to pronounced transmission by increasing dispersion. Our findings indicate that large superspreading events should be the targets of interventions that minimize tail exposure.</description><subject>Basic Reproduction Number - statistics & numerical data</subject><subject>Biological Sciences</subject><subject>BRIEF REPORTS</subject><subject>Coronaviruses</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 - transmission</subject><subject>Disease control</subject><subject>Disease transmission</subject><subject>Extreme values</subject><subject>Humans</subject><subject>Models, Statistical</subject><subject>Pandemics - statistics & numerical data</subject><subject>Physical Sciences</subject><subject>Severe acute respiratory syndrome</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Viral diseases</subject><issn>0027-8424</issn><issn>1091-6490</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNpdkc1LHEEQxZsQiRvN2VNkwEsuo9Uf0x-XgIhJBMGLnpvqnh7tZXZ67J5ZyH_vyJo1yako3q8e9XiEnFA4p6D4xThgOWdAtTBAqfpAVhQMreWyfiQrAKZqLZg4JJ9LWQOAaTR8IoecU24aSVdEXm9jGwYfqukJp8qnnAbcxjyXqsxjyGXMAds4PFaxVB1O9YSxD-0xOeiwL-HL2zwiDz-u769-1bd3P2-uLm9rLwSfahfQOewUmtCCEcx4iR64CUChQdEabjw1rO1Y57jTjmnmGu5ahiACCs2PyPed7zi7TWh9GKaMvR1z3GD-bRNG-68yxCf7mLZWKeCSi8Xg25tBTs9zKJPdxOJD3-MQ0lwsE43iIDTIBT37D12nOQ9LvIWSQkuuFV-oix3lcyolh27_DAX72ol97cS-d7JcnP6dYc__KWEBvu6AdZlS3utMGgVKa_4C_t6SjQ</recordid><startdate>20201124</startdate><enddate>20201124</enddate><creator>Wong, Felix</creator><creator>Collins, James J.</creator><general>National Academy of Sciences</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5560-8246</orcidid><orcidid>https://orcid.org/0000-0002-2309-8835</orcidid></search><sort><creationdate>20201124</creationdate><title>Evidence that coronavirus superspreading is fat-tailed</title><author>Wong, Felix ; Collins, James J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c443t-beabbaf7a9ed09429c6ac039e0105a4d939c192df2fb3b8b282b53bd2a04ea483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Basic Reproduction Number - statistics & numerical data</topic><topic>Biological Sciences</topic><topic>BRIEF REPORTS</topic><topic>Coronaviruses</topic><topic>COVID-19 - epidemiology</topic><topic>COVID-19 - transmission</topic><topic>Disease control</topic><topic>Disease transmission</topic><topic>Extreme values</topic><topic>Humans</topic><topic>Models, Statistical</topic><topic>Pandemics - statistics & numerical data</topic><topic>Physical Sciences</topic><topic>Severe acute respiratory syndrome</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Viral diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wong, Felix</creatorcontrib><creatorcontrib>Collins, James J.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wong, Felix</au><au>Collins, James J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evidence that coronavirus superspreading is fat-tailed</atitle><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle><addtitle>Proc Natl Acad Sci U S A</addtitle><date>2020-11-24</date><risdate>2020</risdate><volume>117</volume><issue>47</issue><spage>29416</spage><epage>29418</epage><pages>29416-29418</pages><issn>0027-8424</issn><eissn>1091-6490</eissn><abstract>Superspreaders, infected individuals who result in an outsized number of secondary cases, are believed to underlie a significant fraction of total SARS-CoV-2 transmission. Here, we combine empirical observations of SARS-CoV and SARS-CoV-2 transmission and extreme value statistics to show that the distribution of secondary cases is consistent with being fat-tailed, implying that large superspreading events are extremal, yet probable, occurrences. We integrate these results with interaction-based network models of disease transmission and show that superspreading, when it is fat-tailed, leads to pronounced transmission by increasing dispersion. Our findings indicate that large superspreading events should be the targets of interventions that minimize tail exposure.</abstract><cop>United States</cop><pub>National Academy of Sciences</pub><pmid>33139561</pmid><doi>10.1073/pnas.2018490117</doi><tpages>3</tpages><orcidid>https://orcid.org/0000-0002-5560-8246</orcidid><orcidid>https://orcid.org/0000-0002-2309-8835</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0027-8424 |
ispartof | Proceedings of the National Academy of Sciences - PNAS, 2020-11, Vol.117 (47), p.29416-29418 |
issn | 0027-8424 1091-6490 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7703634 |
source | PubMed Central (Open access); JSTOR Archival Journals and Primary Sources Collection |
subjects | Basic Reproduction Number - statistics & numerical data Biological Sciences BRIEF REPORTS Coronaviruses COVID-19 - epidemiology COVID-19 - transmission Disease control Disease transmission Extreme values Humans Models, Statistical Pandemics - statistics & numerical data Physical Sciences Severe acute respiratory syndrome Severe acute respiratory syndrome coronavirus 2 Viral diseases |
title | Evidence that coronavirus superspreading is fat-tailed |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T17%3A15%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Evidence%20that%20coronavirus%20superspreading%20is%20fat-tailed&rft.jtitle=Proceedings%20of%20the%20National%20Academy%20of%20Sciences%20-%20PNAS&rft.au=Wong,%20Felix&rft.date=2020-11-24&rft.volume=117&rft.issue=47&rft.spage=29416&rft.epage=29418&rft.pages=29416-29418&rft.issn=0027-8424&rft.eissn=1091-6490&rft_id=info:doi/10.1073/pnas.2018490117&rft_dat=%3Cjstor_pubme%3E26970788%3C/jstor_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c443t-beabbaf7a9ed09429c6ac039e0105a4d939c192df2fb3b8b282b53bd2a04ea483%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2464863873&rft_id=info:pmid/33139561&rft_jstor_id=26970788&rfr_iscdi=true |